public SequenceMetadata GetMetadata(Func <T, double> GetAccel = null, int startIndex = 0, int count = -1)
{
// Establish the actual defaults based on the passed parameters.
count = (count <= 0 || count + startIndex > VectorProvider.LoggedData.Count) ? VectorProvider.LoggedData.Count - startIndex : count;
GetAccel = GetAccel ?? SequenceMetadata.GetOverallMagnitude;
// Initialize the result with the relevant
var result = new SequenceMetadata()
{
NumPoints = count,
Delay = VectorProvider.Timestamps.ElementAtOrDefault(startIndex),
Duration = VectorProvider.Timestamps.ElementAtOrDefault(startIndex + count - 1) - VectorProvider.Timestamps.ElementAtOrDefault(startIndex)
};
//Android.Util.Log.Debug("MachineLearning|MLStage", $"Sequence logged with {count} points, {result.Delay.TotalMilliseconds} ms delay, and {result.Duration.TotalMilliseconds} ms duration.");
//Android.Util.Log.Debug("MachineLearning|MLStage", $"Timestamps went from {VectorProvider.Timestamps[0].TotalMilliseconds:f1}, {VectorProvider.Timestamps[1].TotalMilliseconds:f1}, {VectorProvider.Timestamps[2].TotalMilliseconds:f1}, to {VectorProvider.Timestamps.Last().TotalMilliseconds:f1} ");
// Scan through (while we have the data to do so) and get the peak accel value using the supplied function
foreach (int i in Enumerable.Range(startIndex, count))
{
result.PeakAccel = Math.Max(result.PeakAccel, GetAccel(VectorProvider.LoggedData.ElementAtOrDefault(i)));
}
// We can't get the Quality Score yet - have to fill that in after analysis (see Classifier.Recognize()).
return(result);
}
// When we assess a representative of this class, we use this to update the characteristics of the gesture.
public void UpdateMetadata(SequenceMetadata newData)
{
AverageMetadata.QualityScore = rollinAverage(AverageMetadata.QualityScore, newData.QualityScore);
AverageMetadata.Delay = rollinAverage(AverageMetadata.Delay, newData.Delay);
AverageMetadata.Duration = rollinAverage(AverageMetadata.Duration, newData.Duration);
AverageMetadata.NumPoints = rollinAverage(AverageMetadata.NumPoints, newData.NumPoints);
AverageMetadata.PeakAccel = rollinAverage(AverageMetadata.PeakAccel, newData.PeakAccel);
numMetadataPoints++;
Android.Util.Log.Debug("MachineLearning|GC", $"Updating average metadata for {className} to Qual {AverageMetadata.QualityScore}, Delay {AverageMetadata.Delay.TotalMilliseconds}, Duration {AverageMetadata.Duration.TotalMilliseconds}, #pts {AverageMetadata.NumPoints}, and peak accel {AverageMetadata.PeakAccel}.");
}
public void ResetMetadata()
{
AverageMetadata = new SequenceMetadata();
numMetadataPoints = 0;
}